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Spatial Variation Relationship between Floating Population and Residential Burglary: A Case Study from ZG, China

机译:流动人口与入室行窃的空间变异关系:以中国ZG为例

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With the rapid development of China’s economy, the demand for labor in the coastal cities continues to grow. Due to restrictions imposed by China’s household registration system, a large number of floating populations have subsequently appeared. The relationship between floating populations and crime, however, is not well understood. This paper investigates the impact of a floating population on residential burglary on a fine spatial scale. The floating population was divided into the floating population from other provinces (FPFOP) and the floating population from the same province as ZG city (FPFSP), because of the high heterogeneity. Univariate spatial patterns in residential burglary and the floating population in ZG were explored using Moran’s I and LISA (local indicators of spatial association) models. Furthermore, a geographically weighted Poisson regression model, which addressed the spatial effects in the data, was employed to explore the relationship between the floating population and residential burglary. The results revealed that the impact of the floating population on residential burglary is complex. The floating population from the same province did not have a significant impact on residential burglary in most parts of the city, while the floating population from other provinces had a significantly positive impact on residential burglary in most of the study areas and the magnitude of this impact varied across the study area.
机译:随着中国经济的快速发展,沿海城市对劳动力的需求持续增长。由于中国户籍制度的限制,随后出现了大批流动人口。但是,人们对流动人口与犯罪之间的关系还没有很好的了解。本文以良好的空间规模调查了流动人口对住宅盗窃的影响。由于异质性较高,流动人口分为其他省份的流动人口(FPFOP)和与ZG市相同省份的流动人口(FPFSP)。使用Moran的I和LISA(空间关联的局部指标)模型探索了住宅盗窃和ZG中流动人口的单变量空间格局。此外,采用了地理加权的Poisson回归模型,该模型解决了数据中的空间效应,用于探索流动人口与入室盗窃之间的关系。结果表明,流动人口对入室盗窃的影响是复杂的。来自同一省份的流动人口对城市大部分地区的入室盗窃案没有重大影响,而来自其他省份的流动人口在大多数研究区域中对房屋入室盗窃案具有显着的积极影响,其影响程度在研究区域中各不相同。

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